Development of an Intelligent Crash Helmet with Accident Detection Technology

Abstract

This research entails the development of an intelligent crash helmet with accident detection technology. For motorcyclists who prioritize their safety when riding, a helmet is a vital piece of protective equipment. This helmet’s primary goal is to increase rider safety by incorporating state-of-the-art technologies. It transforms a regular bike into an intelligent one and improves the capabilities of a traditional helmet. This cutting-edge headgear efficiently serves as a hands-free gadget by smoothly integrating features including alcohol detection, accident recognition, overspeeding and fall detection. Information and commands can be shared between the bike and the helmet unit through the wireless module’s smooth communication. Crucially, the rider must wear the smart helmet for the bike to start. The smart helmet has a great feature that can check if someone has consumed alcohol. If the rider is too drunk, the bike’s starting system stops working, so they cannot ride while under the influence. In tests that mimicked crashes, the helmet correctly detected high-speed forces (25.73 m/s²), fast spinning (298.16 rad/s), and sudden changes in movement (157.3 m/s³), which all set off emergency signals. A vibration part was also checked for impacts, and the GPS and GSM parts worked well to send the rider’s location within 10 seconds after an incident. The whole system runs smoothly with 50 millisecond response times and can last for 4.4 hours on a 7.4V, 2200mAh lithium-ion battery. Overall, this smart helmet brings together advanced technology and safety tools to keep riders safe, making biking a more secure and enjoyable experience.